Ameet Talwalkar

Publications

• MLbase: A Distributed Machine Learning System (pdf, webpage)
  T. Kraska, A. Talwalkar, J. Duchi, R. Griffith, M.J. Franklin, M.I. Jordan
  Conference on Innovative Data Systems Research (CIDR). 2013


• The Big Data Bootstrap (pdf, long version, slides)
  A. Kleiner, A. Talwalkar, P. Sarkar, M.I. Jordan
  International Conference on Machine Learning (ICML). 2012


• Sampling Methods for the Nyström method (pdf)
  S. Kumar, M. Mohri, A. Talwalkar
  Journal of Machine Learning Research (JMLR). 2012


• Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (pdf, dataset)
  N. Gong, A. Talwalkar, L. Mackey, L. Huang, E. Shin, E. Stefanov, E. Shi, D. Song
  ACM Workshop on Social Network Mining and Analysis (SNA-KDD). 2012


• Divide-and-Conquer Matrix Factorization (pdf, long version, webpage)
  L. Mackey, A. Talwalkar and M.I. Jordan
  Neural Information Processing Systems (NIPS). 2011


• Can Matrix Coherence be Efficiently and Accurately Estimated? (pdf)
  M. Mohri and A. Talwalkar
  International Conference on Artificial Intelligence and Statistics (AISTATS oral). 2011


• Matrix Coherence and the Nyström Method (pdf)
  A. Talwalkar and A. Rostamizadeh
  Conference on Uncertainty in Artificial Intelligence (UAI oral). 2010


• Matrix Approximation for Large-scale Learning (pdf)
  A. Talwalkar
  PhD Thesis, Courant Institute (Advisor: Mehryar Mohri). 2010
  Janet Fabri Prize for Best PhD Thesis in CS Department


• On the Impact of Kernel Approximation on Learning Accuracy (pdf)
  C. Cortes, M. Mohri and A. Talwalkar
  International Conference on Artificial Intelligence and Statistics (AISTATS). 2010


• Ensemble Nyström Method (pdf)
  S. Kumar, M. Mohri and A. Talwalkar
  Neural Information Processing Systems (NIPS). 2009
  Best Student Paper at 2009 NYAS ML Symposium


• On Sampling-based Approximate Spectral Decomposition (pdf)
  S. Kumar, M. Mohri and A. Talwalkar
  International Conference on Machine Learning (ICML). 2009


• Sampling Techniques for the Nyström Method (pdf)
  S. Kumar, M. Mohri and A. Talwalkar
  International Conference on Artificial Intelligence and Statistics (AISTATS). 2009


• Sequence Kernels for Predicting Protein Essentiality (pdf)
  C. Allauzen, M. Mohri and A. Talwalkar
  International Conference on Machine Learning (ICML). 2008


• Large-Scale Manifold Learning (pdf)
  A. Talwalkar, S. Kumar and H. Rowley
  International Conference on Vision and Pattern Recognition (CVPR oral). 2008

Other Work

• Sparse Representation and Low-rank Approximation
  2011 NIPS workshop
  Organizer (with Francis Bach, Michael Davies, Rémi Gribonval, Lester Mackey, Michael Mahoney, Mehryar Mohri, Guillaume Obozinski)
  
  
• Bootstrapping Big Data (pdf, slides)
  A. Kleiner, A. Talwalkar, P. Sarkar, M.I. Jordan
  NIPS workshop on Big Learning (contributed talk). 2011
  
  
• Low-rank Methods for Large-scale Machine Learning
  2010 NIPS workshop
  Organizer (with Arthur Gretton, Michael Mahoney, Mehryar Mohri)
  
  
• Very Large-scale Low-rank Approximation (pdf)
  C. Cortes, S. Kumar, M. Mohri and A. Talwalkar
  NIPS workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets. 2009
  
  
• Motion Perception is Influenced by Sound: Two- and Three-Dimensional Motion (Abstract)
  L. Boucher, R. Sekuler, A. Talwalkar and A. B. Sekuler
  Association for Research in Vision and Ophthalmology. 1998.